Wes Hasting is a VP of Product Management in Enterprise Data at Capital One. In this role, Wes leads a team of product managers building capabilities and experiences to share, detect, and manage data.
The AI revolution shows no signs of slowing down, transforming industries at an unprecedented pace. The fuel powering this change is high-quality, well-managed data. As companies adopt AI, the demand for reliable data is also growing rapidly. To stay competitive, organizations must do the hard work of building scalable data ecosystems that provide a foundation for strong data management, which is necessary to handle the complexity of data inherent with the AI revolution.
Driving data standardization from the point of creation involves establishing clear definitions, rules, and governance for metadata and data to ensure data consistency, which in turn leads to better reliability in the downstream experiences the data is powering. We're developing modular, reusable data management capabilities that can be embedded into our platforms and pipelines, making it easier to enforce standards at every stage.
We're automating data governance and quality assurance wherever possible. Assisted by machine learning techniques, we can discover sensitive data, manage metadata, and perform quality checks at scale. By establishing policies and thresholds upfront, we can automate the enforcement of our data standards, freeing up our teams to focus on more strategic tasks.
It is also important to understand how and where data is being used. This requires tracking the end-to-end lineage of data—from its source through every transformation and movement to its final use. This visibility can enable data management tooling to more effectively identify and rectify potential issues.
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